Bright, near infrared emitting PLGA-PEG dye-doped CN-PPV nanoparticles for imaging applications

Journal article


Kemal, E., Abelha, T. F., Urbano, L., Peters, R., Owen, D. M., Howes, P., Green, M. and Dailey, L. A. (2017). Bright, near infrared emitting PLGA-PEG dye-doped CN-PPV nanoparticles for imaging applications. RSC Advances. (25), pp. 15255-15264. https://doi.org/10.1039/c6ra25004a
AuthorsKemal, E., Abelha, T. F., Urbano, L., Peters, R., Owen, D. M., Howes, P., Green, M. and Dailey, L. A.
Abstract

Conjugated polymers are of interest as optical imaging probes for clinical diagnostic applications. However, clinical translation requires not only an excellent optical performance, but also an established safety profile and scalable manufacturability. Taking these factors into account, a self-assembling nanoparticle system was designed utilising the amphiphilic diblock copolymer, PLGA–PEG, to encapsulate the red-emitting conjugated polymer, CN-PPV. Encapsulation of decreasing amounts of CN-PPV (50% to 5% w/w) resulted in a decrease in nanoparticle size and an increase in optical performance (quantum yield% ∼40%). All systems were colloidally and optically stable over 60 days at 37 °C. Optimized systems were then used to encapsulate small amounts (0.5–0.8% w/w) of small molecule near-infrared dyes, NIR680 and NIR720, generating systems with shifted emission peaks >700 nm. Optimised PLGA–PEG micelles containing 5% CN-PPV and 0.5% NIR720 showed enhanced characteristics, such as a high product yield (>90%), a narrow emission peak at 720 nm, a high quantum yield of 45%, a small hydrodynamic diameter (∼104 nm), and an enhanced cytocompatibility profile compared to other systems tested in this study, i.e. no reduction in cell viability and negligible impairment of mitochondrial activity at higher concentrations.

Year2017
JournalRSC Advances
Journal citation(25), pp. 15255-15264
PublisherRoyal Society of Chemistry
ISSN2046-2069
Digital Object Identifier (DOI)https://doi.org/10.1039/c6ra25004a
Web address (URL)https://app.dimensions.ai/details/publication/pub.1084133984
Publication dates
Online07 Mar 2017
Publication process dates
Accepted12 Feb 2017
Deposited31 May 2024
Publisher's version
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Open
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